News Article | February 23, 2017
Integra Gold Corp. (TSX VENTURE: ICG) ( : ICGQF) ("Integra" or the "Company") and Goldcorp Inc. (TSX: G) ( : GG) ("Goldcorp") are pleased to announce the five finalists and 11 semi-finalists for #DisruptMining. Selecting the five finalists and 11 semi-finalists was a difficult task for the selection committee, a testament to the number of revolutionary ideas and technologies put forth in the 153 submissions received. The sold-out live finale will take place on Sunday, March 5, 2017 at the Carlu in Toronto during the Prospectors and Developers Association of Canada (PDAC) convention. The five finalists pitching their disruptive technology "shark-tank" style to the panel of judges are: "Congratulations to Integra Gold, Goldcorp and the five finalists of this innovation challenge. This industry-driven effort to crowdsource ideas and support bold new approaches for stronger environmental performance and enhanced productivity will help ensure Canada's minerals industry remains a source of jobs and opportunities for generations," stated the Honourable Jim Carr, Canada's Minister of Natural Resources. Deciding the fate of the five finalists will be David Harquail, CEO, Franco-Nevada Corporation; Robert Herjavec, CEO, Herjavec Group and judge on ABC Television Network's Shark Tank; Rob McEwen, Chairman & CEO, McEwen Mining; Todd White, COO, Goldcorp Inc. and Bernadette Wightman, President, Cisco Canada. Each finalist will have five minutes to pitch and defend their idea to the panel and demonstrate how their idea or technology has the potential to #DisruptMining. Judges will have two minutes to respond and ask questions. Goldcorp, represented by judge Todd White, has committed $1,000,000 for a proof of concept at one of its mines or investment in the winning technologies. The remaining four judges will represent $100,000 each. Following each presentation, any judge will have the ability to send a disruptor to the deal room to negotiate an investment. In addition to the five finalists, 11 semi-finalists have been chosen for the #DisruptMining daytime expo. The expo will take place on March 5, 2017 from 2 p.m. to 4 p.m. EST at the Carlu in Toronto. To register for the #DisruptMining daytime expo, click here: https://www.eventbrite.ca/e/disruptmining-day-expo-tickets-31528270907 The 11 semi-finalists being showcased at the daytime expo are: Acoustic Zoom Inc. BGC Engineering Inc. Dundee Sustainable Technologies GeoLEARN GroundTruth Exploration Inc. Heads Up Display Inc. Objectivity.ca Minrail Inc. New Mining Solutions Scanimetrics Inc. YieldPoint Inc. Integra Gold and Goldcorp would like to thank the generous sponsors of #DisruptMining: Title sponsor Raymond James and event sponsors Macquarie and BMO. #DisruptMining is a marquee event during the annual Prospectors and Developers Association of Canada ("PDAC") conference that will showcase disruptive and exponential technologies with the potential to revolutionize the future of mining, from exploration and discovery to production and automation to financing, marketing and sustainability. Net proceeds from sponsorships and ticket sales at the #DisruptMining finale event will be donated to charities as well as used to create scholarships designed to spur innovation in mining. About Integra Gold Corp. www.integragold.com Integra Gold is a junior gold exploration company advancing projects in Val-d'Or, Québec, one of the top mining jurisdictions in the world. The Company's primary focus is its high-grade Lamaque project. About Goldcorp Inc. www.goldcorp.com Goldcorp is a senior gold producer focused on responsible mining practices with safe, low-cost production from a high-quality portfolio of mines ON BEHALF OF THE BOARD OF DIRECTORS Stephen de Jong CEO & President Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this news release. Cautionary Note Regarding Forward Looking Statements: Certain disclosures in this release constitute forward-looking statements. In making the forward-looking statements in this release, the Company has applied certain factors and assumptions that are based on the Company's current beliefs as well as assumptions made by and information currently available to the Company, including that the Company is able to obtain any government or other regulatory approvals required to complete the private placement and Company's planned exploration activities, that the Company is able to complete the private placement, that the Company is able to procure personnel, equipment and supplies required for its exploration activities in sufficient quantities and on a timely basis and that actual results of exploration activities are consistent with management's expectations. Although the Company considers these assumptions to be reasonable based on information currently available to it, they may prove to be incorrect, and the forward-looking statements in this release are subject to numerous risks, uncertainties and other factors that may cause future results to differ materially from those expressed or implied in such forward-looking statements. Such risk factors include, among others, that the private placement will not be completed, that actual results of the Company's exploration activities will be different than those expected by management and that the Company will be unable to obtain or will experience delays in obtaining any required government approvals or be unable to procure required equipment and supplies in sufficient quantities and on a timely basis. Readers are cautioned not to place undue reliance on forward-looking statements. The Company does not intend, and expressly disclaims any intention or obligation to, update or revise any forward-looking statements whether as a result of new information, future events or otherwise, except as required by law.
News Article | February 21, 2017
VANCOUVER and SEATTLE, Feb. 21, 2017 /PRNewswire/ - BGC Engineering Inc. and LOOOK, Inc., have partnered to transform communication in the mining and geoengineering sectors using Microsoft's HoloLens technology. The two firms have developed a proof of concept application that turns...
Dowling C.A.,BGC Engineering Inc. |
Santi P.M.,Colorado School of Mines
Natural Hazards | Year: 2014
Debris flows cause significant damage and fatalities throughout the world. This study addresses the overall impacts of debris flows on a global scale from 1950 to 2011. Two hundred and thirteen events with 77,779 fatalities have been recorded from academic publications, newspapers, and personal correspondence. Spatial, temporal, and physical characteristics have been documented and evaluated. In addition, multiple socioeconomic indicators have been reviewed and statistically analyzed to evaluate whether vulnerable populations are disproportionately affected by debris flows. This research provides evidence that higher levels of fatalities tend to occur in developing countries, characterized by significant poverty, more corrupt governments, and weaker healthcare systems. The median number of fatalities per recorded deadly debris flow in developing countries is 23, while in advanced countries, this value is only 6 fatalities per flow. The analysis also indicates that the most common trigger for fatal events is extreme precipitation, particularly in the form of large seasonal storms such as cyclones and monsoon storms. Rainfall caused or triggered 143 of the 213 fatal debris flows within the database. However, it is the more uncommon and catastrophic triggers, such as earthquakes and landslide dam bursts, that tend to create debris flows with the highest number of fatalities. These events have a median fatality count >500, while rainfall-induced debris flows have a median fatality rate of only 9 per event. © 2013 Springer Science+Business Media Dordrecht.
Quinn P.E.,BGC Engineering Inc.
International Journal of Image and Data Fusion | Year: 2014
This article describes the development of an improved and expanded landslide susceptibility model for eastern Ontario and southern Quebec, where the clay plains of the former Champlain Sea are affected by large landslides in sensitive clay. The work uses the weights of evidence method and considers 12 different geospatial themes, of which seven are included in the final model: soil type, overburden thickness, flow accumulation, elevation, stream sinuosity, local relief, and slope angle. The article describes some practical considerations in the current modelling work, with emphasis on a number of key aspects, including identification of target hazard types, selection of analytical and predictive study areas, selection of geospatial thematic data for analysis, image processing and analysis of both discrete- and continuous-valued raster data, and combination of thematic weights for development of a meaningful susceptibility model. The new model has significantly better predictive power than the older model and covers the entire area. It does not fully address earthquake-related landslide hazards and would benefit from expansion of the digital landslide inventory. © 2013 © 2013 Taylor & Francis.
Bommer C.,WSL Institute for Snow and Avalanche Research SLF |
Phillips M.,WSL Institute for Snow and Avalanche Research SLF |
Arenson L.U.,BGC Engineering Inc.
Permafrost and Periglacial Processes | Year: 2010
Mountain infrastructure can be negatively affected by ground-ice degradation induced by the combined effects of construction activity, the structure itself and climate change. Modification of subsurface conditions may cause differential settlement, creep and deformation of structures, substantially shortening their service life. Permafrost detection techniques and adaptive design methods taking into account changes in the geotechnical properties of the ground are rarely applied on construction sites in the Alps. The analysis of potential structural sensitivities to changes in the substrate and the determination of failure consequences are necessary for the successful design of durable infrastructure. Appropriate monitoring systems allow timely diagnoses and the application of suitable remedial measures. The use of specially conceived technical solutions in mountain permafrost is becoming widespread, yet there is not a commonly accepted state-of-the-art. New recommendations provide an overview of practical solutions for the construction and maintenance of durable infrastructure in mountain permafrost. © 2010 John Wiley & Sons, Ltd.
Jakob M.,BGC Engineering Inc. |
Friele P.,Cordilleran Geoscience
Geomorphology | Year: 2010
Natural hazard and risk assessments are predicated on a detailed understanding of the relationship between frequency and magnitude of the hazardous process under investigation. When information is sought from the deep past (i.e., several thousand years), continuous event records do not exist and the researcher has to rely on proxy data to develop the frequency-magnitude (F-M) model. Such work is often prohibitively expensive and few well-researched examples for mass movement are available worldwide. The Cheekye fan is a desirable location for land development and has a depth and breadth of previous research unprecedented on any debris-flow fan in Canada. We pursued two principal strains of research to formulate a reliable F-M relationship. The first focuses on stratigraphic analyses combined with radiometric dating and dendrochronology to reconstruct a comprehensive picture of Holocene debris-flow activity. The second approach examines hydrological limitations of rock avalanche evolution into debris flows through either entrainment of saturated sediments or by failure of a landslide-generated dam and upstream impoundment. We thus hypothesize that debris flows from Cheekye River can be separated into two quasi-homogenous populations: those that are typically triggered by relatively small debris avalanches, slumps, or rock falls or simply by progressive bulking of in-stream erodible sediments; and those that are thought to result from transformation of rock avalanches. Our work suggests that debris flows exceeding some 3 million m3 in volume are unlikely to reach the Cheekye fan as a result of limited water available to fully fluidize a rock avalanche. This analysis has also demonstrated that in order to arrive at reasonable estimates for the frequency and magnitude of debris flows on a complex alluvial fan significant multidisciplinary efforts are required. Without the significant precursor investigations and the additional efforts of this study, life and property may be jeopardized or the design of debris-flow mitigation may be subject to considerable and unquantifiable error. © 2009 Elsevier B.V. All rights reserved.
Jakob M.,BGC Engineering Inc. |
Stein D.,BGC Engineering Inc. |
Ulmi M.,Geological Survey of Canada
Natural Hazards | Year: 2012
Quantitative risk assessments (QRAs) for landslide hazards are increasingly being executed to determine an unmitigated level of risk and compare it with risk tolerance criteria set by the local or federal jurisdiction. This approach allows urban planning with a scientific underpinning and provides the tools for emergency preparedness. Debris-flow QRAs require estimates of the hazard probability, spatial and temporal probability of impact (hazard assessment) and vulnerability of the elements at risk. The vulnerability term is perhaps the most difficult to estimate confidently because (a) human death in debris flows is most commonly associated with building damage or collapse and is thus an indirect consequence and (b) the type and scale of building damage is very difficult to predict. To determine building damage, an intensity index (I DF) was created as the product of maximum expected flow depth d and the square of the maximum flow velocity v (I DF = dv 2). The I DF surrogates impact force and thus correlates with building damage. Four classes of building damage were considered ranging from nuisance flood/sedimentation damage to complete destruction. Sixty-six well-documented case studies in which damage, flow depth and flow velocity were recorded or could be estimated were selected through a search of the global literature, and I DF was plotted on a log scale against the associated damage. As expected, the individual damage classes overlap but are distinctly different in their respective distributions and group centroids. To apply this vulnerability model, flow velocity and flow depth need to be estimated for a given building location and I DF calculated. Using the existing database, a damage probability (P DF) can then be computed. P DF can be applied directly to estimate the likely insurance loss or associated loss of life. The model presented here should be updated with more case studies and is therefore made openly available to international researchers who can access it at http://chis.nrcan.gc.ca/QRA-EQR/index-eng.php. © 2011 Springer Science+Business Media B.V.
Jakob M.,BGC Engineering Inc. |
Owen T.,BGC Engineering Inc. |
Simpson T.,BGC Engineering Inc.
Landslides | Year: 2012
Engineered (structural) debris-flow mitigation for all creeks with elements at risk and subject to debris flows is often outside of the financial capability of the regulating government, and heavy task-specific taxation may be politically undesirable. Structural debris-flow mitigation may only be achieved over long (decadal scale) time periods. Where immediate structural mitigation is cost-prohibitive, an interim solution can be identified to manage residual risk. This can be achieved by implementing a debris-flow warning system that enables residents to reduce their personal risk for loss of life through timely evacuation. This paper describes Canada's first real-time debris-flow warning system which has been operated for 2 years for the District of North Vancouver. The system was developed based on discriminant function analyses of 20 hydrometric input variables consisting of antecedent rainfall and storm rainfall intensities for a total of 63 storms. Of these 27 resulted in shallow landslides and subsequent debris flows, while 36 storms were sampled that did not reportedly result in debris flows. The discriminant function analysis identified as the three most significant variables: the 4-week antecedent rainfall, the 2-day antecedent rainfall, and the 48-h rainfall intensity during the landslide-triggering storm. Discriminant functions were developed and tested for robustness against a nearby rain gauge dataset. The resulting classification functions provide a measure for the likelihood of debris-flow initiation. Several system complexities were added to render the classification functions into a usable and defensible warning system. This involved the addition of various functionality criteria such as not skipping warning levels, providing sufficient warning time before debris flows would occur, and hourly adjustment of actual rainfall vs. predicted rainfall since predicted rainfall is not error-free. After numerous iterations that involved warning threshold and cancelation refinements and further model calibrations, an optimal solution was found that best matches the actual debris-flow data record. Back-calculation of the model's 21-year record confirmed that 76% of all debris flows would have occurred during warning or severe warning levels. Adding the past 2 years of system operation, this percentage increases marginally to 77%. With respect to the District of North Vancouver boundaries, all debris flows occur during Warning and Severe Warnings emphasizing the validity of the system to the area for which it was intended. To operate the system, real-time rainfall data are obtained from a rain gauge in the District of North Vancouver. Antecedent rainfall is automatically calculated as a sliding time window for the 4-week and 2-day periods every hour. The predicted 48-h storm rainfall data are provided by the Geophysical Disaster Computational Fluid Dynamics Centre at the Earth and Ocean Science Department at the University of British Columbia and is updated every hour as rainfall is recorded during a given storm. The warning system differentiates five different stages: no watch, watch level 1 (the warning level is unlikely to be reached), watch level 2 (the warning level is likely to be reached), warning, and severe warning. The debris-flow warning system has operated from October 1, 2009 to April 30, 2010 and October 1, 2010 and April 30, 2011. Fortunately, we were able to evaluate model performance because the exact times of debris flows during November 2009 and January 2010 were recorded. In both cases, the debris flows did not only occur during the warning level but coincided with peaks in the warning graphs. Furthermore, four debris flows occurred during a warning period in November 2009 in the Metro Vancouver watershed though their exact time of day is unknown. The warning level was reached 13 times, and in four of these cases, debris flows were recorded in the study area. One debris flow was recorded during watch II level. There was no severe warning during the 2 years of operation. The current warning level during the wet season (October to April) is accessible via District of North Vancouver's homepage (www.dnv.org) and by automated telephone message during the rainy season. © 2011 Springer-Verlag.
Quinn P.E.,BGC Engineering Inc.
Canadian Geotechnical Journal | Year: 2013
This paper describes geostatistical analyses completed at a discontinuous permafrost site in central Yukon to develop a predictive model for the presence of late-season frozen ground in support of planning and design for potential site development. The most important factors in the bivariate statistical model were soil type, as determined through terrain analysis, and slope aspect, as inferred from available topographic data. The other three factors included in the final model were profile curvature, slope angle, and ground elevation, each interpreted from available topographic data. The resulting model subdivides the site into three broad classes of frozen ground likelihood: low, where frozen ground can be expected to be encountered in late summer at 15% of observation locations; medium, where 50% of the ground is expected to remain frozen; and high, where 85% of the ground is expected to remain frozen. New test pit and borehole data from the summer of 2012 were used to verify model performance. The inferred correlations between frozen ground and soil type, aspect, curvature, slope, and elevation obtained in this case study may provide useful information relative to expected permafrost occurrence at sites in central Yukon with similar geology and physiography.
Quinn P.,BGC Engineering Inc.
Natural Hazards | Year: 2013
This paper examines the use of road network data as a proxy for interpreting population density, which is of use in regional-scale qualitative risk assessment for natural hazards. Comparison of available road network and population data at various scales in Ontario and Quebec yields a best-fit relationship of DP = 28 DR 2. Analysis of available high-resolution topographic data for the Caribbean island nation of Saint Lucia suggests similar power law trends, with expected population density in Saint Lucia roughly half that of Canada for the same road density. Together, these findings suggest that DP ~ 10-30 DR 2 may represent a useful range broadly applicable for a wide variety of geographic, climactic and socioeconomic settings. The Canadian relationship has been used to generate a population density model for the lowlands of eastern Ontario and southern Quebec, and this model has been compared with the spatial distribution of seismic hazard to develop a qualitative seismic risk map. The seismic risk map, presented primarily for illustrative purposes, shows elevated seismic risk in urban centers in the study area, and along a predominantly rural area east of Quebec City on both shores of the Saint Lawrence River. © 2012 Springer Science+Business Media B.V.